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Home
Solutions

Teams

Built for your whole team.

Growth Marketers
Marketing Analysts
Data Analysts

Industries

Trusted by all verticals.

Gaming
Fintech
Travel & mobility
Lifestyle
eCommerce & Retail
Agencies

Mediums

Measure any type of ad spend

iOS
Android
Web
TV
Influencer Marketing
Out of Home
In game
Podcast
Platform
Overview

Learn more about INCRMNTAL's Measurement Platform for Advertisers.

Integrations

Seamlessly connect your marketing and sales data with our integration partners.

Use Cases

Many Possibilities. One Platform.

Marketing Changes
Cross - Platform
Everything

AI and Automation

The Always-on Incrementality Platform

Analyst
Actionable Insights
Pricing
Resources
Company
About Us

Let us tell you a little bit about ourselves.

Contact

Get in touch with the Incrmntal team.

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Install Spoofing

or SDK Spoofing

Install spoofing, also known as SDK spoofing, is a type of ad fraud where attackers manipulate data to create fake app installations, misleading advertisers into believing their ads have driven genuine user downloads. This type of fraud exploits the software development kits (SDKs) used by app developers to track and attribute installs.

Fraudsters achieve install spoofing by intercepting and faking the data that apps send to attribution platforms. They simulate app installs and user engagement without the app actually being installed or used by real users. This fraudulent activity often involves generating fake device IDs, clicks, and installs, making it appear as though the ads are performing well and driving high volumes of downloads.

Install spoofing significantly impacts advertisers by wasting their ad budgets on non-existent users, skewing campaign performance data, and leading to incorrect conclusions about ad effectiveness. It can also distort key performance indicators (KPIs) and hinder accurate measurement and optimization of marketing strategies.

To combat install spoofing, advertisers and app developers employ various techniques, such as implementing robust SDK security measures, using advanced fraud detection tools, and analyzing install patterns for anomalies. These efforts help ensure that reported app installs are genuine and attributable to legitimate user interactions.

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